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» Modeling dynamic environments in multi-agent simulation
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JAIR
2002
120views more  JAIR 2002»
14 years 9 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
15 years 4 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
CVPR
2004
IEEE
15 years 11 months ago
Elastic-String Models for Representation and Analysis of Planar Shapes
We develop a new framework for the quantitative analysis of shapes of planar curves. Shapes are modeled on elastic strings that can be bent, stretched or compressed at different r...
Washington Mio, Anuj Srivastava
ICAC
2005
IEEE
15 years 3 months ago
Resource Allocation for Autonomic Data Centers using Analytic Performance Models
Large data centers host several application environments (AEs) that are subject to workloads whose intensity varies widely and unpredictably. Therefore, the servers of the data ce...
Mohamed N. Bennani, Daniel A. Menascé
ROBOCOMM
2007
IEEE
15 years 4 months ago
A generic multi-robot coordination strategic layer
—Managing a team of heterogeneous robots in a dynamic environment poses a challenging job. In this paper a model for a multi-purpose, real-time, adaptable, strategical coordinati...
João Certo, Nuno Lau, Luís Paulo Rei...